Skip to content
View heitorrapela's full-sized avatar
🎯
Focusing
🎯
Focusing
131 followers · 277 following

Achievements

Achievement: Arctic Code Vault ContributorAchievement: StarstruckAchievement: Pull Sharkx2

Achievements

Achievement: Arctic Code Vault ContributorAchievement: StarstruckAchievement: Pull Sharkx2

Highlights

  • Pro

Block or report heitorrapela

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
heitorrapela/README.md

Hi there, I am Heitor Rapela!

Twitter Badge Linkedin Badge Kaggle Badge Gmail Badge


  • 📫 How to reach me: @heitorrapela on Twitter
  • I am 3x Kaggle Expert (with one solo first place in Kaggle TPS)
  • I am also fourth-year PhD Candidate with publications in top computer vision (CV) conferences
  • More than 10 years experience in CV

Overview

I am a fourth-year PhD Candidate at ÉTS Montreal, where I work in the Distech Controls Industrial Research Chair project with an MITACS scholarship. I am advised by Professors Marco Pedersoli and Eric Granger. My primary research focus is computer vision and machine learning, especially in the areas of object detection and domain adaptation. I am also a member of the International Laboratory on Learning Systems (ILLS).

I did my Masters degree at CIn-UFPE, advised by Professor Hansenclever Bassani . In parallel, I worked as a researcher in LINCS/CETENE with Professor Edna Barros and Antonyus Pyetro in the field of object detection and face recognition. By the end of my Masters, I worked as a junior data engineer at Neurotech for eight months, where I did ETL, data ingestion and implemented deep learning solutions.

Regarding my undergraduate studies, I accomplished my bachelor's in computer engineering at CIn-UFPE, where I had the opportunity to work in robotics with Professors Edna Barros and Hansenclever Bassani and in computer vision with Professor Carlos Alexandre. During my Bachelor's, I did an internship as a software engineer at Motorola/CIn, where I developed a parser solution for 4G wireless communication, and I co-founded RoboCIn, the best robot competition team in Latin America. Over the course of my academic career, I have been awarded several scholarships and have won hackathons and robotics competitions.

I am a volunteer reviewer for WACV, ICLR, and LXAI, where I currently serve as co-chair for the LXAI NeurIPS 2024 workshop. In my free time, I enjoy participating in Kaggle competitions, playing guitar, watching anime, and drinking a good cappuccino.

I am currently seeking internship positions for 2025. Upon completing my PhD, I will explore options for the next stage of my career, whether in a postdoctoral position or in the industry. Please feel free to contact me if you have any opportunities.

Languages and Tools

Pinned Loading

  1. ModTr ModTr Public

    [ECCV2024] ModTr: Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge

    Python 10

  2. HalluciDet HalluciDet Public

    [WACV2024] HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information (Accepted at WACV 2024 and LatinX@CVPR2024 Extended Abstract)

    Python 19

  3. MiPa MiPa Public

    [WACV2025] MiPa: Mixed Patch Infrared-Visible Modality Agnostic Object Detection

    9

  4. xdog xdog Public

    Extended Difference of Gaussians (xDoG) implementation

    Python 62 8

  5. fashion-mnist-mlp fashion-mnist-mlp Public

    fashion-mnist-mlp in Keras

    Python 15 2

  6. awesome-phd-internships awesome-phd-internships Public

    This is a public list of PhD internship positions. Feel free to add pull-requests to the positions.

    2